Cadence Design Systems and Nvidia have announced a strategic partnership aimed at accelerating the development of artificial intelligence for robotics. The collaboration integrates Cadence’s physics engines—which simulate the interaction of real-world materials—with Nvidia’s AI models to train robots within digital environments. Nvidia CEO Jensen Huang noted that the companies are working together across the entire spectrum of robotic systems, with the goal of significantly reducing the time required for robots to learn and execute complex tasks.
Training robots in computer simulations is often faster than real-world training, but it requires highly accurate synthetic data. Cadence CEO Anirudh Devgan emphasized that the precision of his company’s physics-based data is essential for building superior AI models. Following the announcement, Cadence shares saw an increase of more than 4%.
In addition to the partnership, Cadence unveiled a new AI agent designed to automate the physical layout phase of semiconductor design, where circuits are mapped onto silicon. This follows a previous tool released earlier this year that handles the initial coding stages of chip development. This latest AI system will be hosted on Google Cloud, further streamlining the design process by using AI to build the very hardware that powers future artificial intelligence.
Click here for more on Technology
